Triple

T29116583
Position Surface form Disambiguated ID Type / Status
Subject Pizzo Tambo E737061 entity
Predicate parentPeak P1319 FINISHED
Object Pizzo dei Piani
Pizzo dei Piani is a mountain in the Lepontine Alps on the Swiss-Italian border, known as a prominent peak in the region.
E1849623 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pizzo dei Piani | Statement: [Pizzo Tambo, parentPeak, Pizzo dei Piani]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pizzo dei Piani
Triple: [Pizzo Tambo, parentPeak, Pizzo dei Piani]
Generated description
Pizzo dei Piani is a mountain in the Lepontine Alps on the Swiss-Italian border, known as a prominent peak in the region.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f077ed54e08190bb02a744e8121a66 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f661f1378c8190aa0ffc365dfb589f completed May 2, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537c86c8881908f198a04aea22492 completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253bde7d1c819082d2aeac0b835460 completed June 7, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a253fc091b8819091f9253f88e27df4 completed June 7, 2026, 9:54 a.m.
Created at: April 28, 2026, 11:22 a.m.